Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

Chinese Journal of Electrical Engineering ›› 2018, Vol. 4 ›› Issue (1): 67-73.

Previous Articles Next Articles

Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

Jikai Si^1,*, Suzhen Zhao¹, Haichao Feng¹, Ruiwu Cao², Yihua Hu3

1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China;
2. School of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
3. Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK

Online:2018-03-25 Published:2019-10-31
Contact: * Email: sijikai527@126.com.
About author:Jikai Si received the B.S. degree in electrical engineering and automation from the Jiaozuo Institute of Technology, Jiaozuo, China, in 1998; the M.S. degree in electrical engineering from Henan Polytechnic University, Jiaozuo, China, in 2005; and the Ph.D. degree in 2008 from the School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China, in 2008. He is currently a professor at Henan Polytechnic University. His main research interests include the theory, application, and control of special motor. He has authored and co-authored over 90 technical papers in these areas. Dr. Si is a Member of the Institute of Linear Electric Machine and Drives, Henan Province, China. Suzhen Zhao received B.S. degree from Henan Polytechnic University, Jiaozuo, China, in 2015. She is currently pursuing the M.S. degree in electrical engineering. Her research interests include modeling and characteristic analysis of special motors. Haichao Feng was born in China, in 1983. He received the B.S. and M.S. degrees in electrical engineering and automation, control theory, and control engineering from the School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China, in 2005 and 2008, respectively. He is a Teacher at the School of Electrical Engineering and Automation, Henan Polytechnic University. In recent years, he has participated in eight provincial and three country research projects, and has published more than eight academic papers. His research interests include the optimization design of linear and rotary machines, power electronics, and their controls. Mr. Feng is a Member of the Institute of Linear Electric Machine and Drives, Henan Province, China. Ruiwu Cao (S'10) received the B.S. degree in electrical engineering from Yancheng Institute of Technology, Yancheng, China, in 2004 and the M.S. degree in electrical engineering from Southeast University, Nanjing, China, in 2007, where he has been working toward the Ph.D. degree in electrical engineering since 2009. From 2007 to 2009, he was a Hardware Electrical Engineer with the Electronic Drive System R&D Center, BSH Electrical Appliances(Jiangsu) Company, Ltd. From August 2010 to November 2011, he was a joint Ph.D. student funded by the China Scholarship Council with the College of Electrical and Computer Science, University of Michigan, Dearborn, where he worked on permanent-magnet(PM) motors for electric vehicle (EV), hybrid EV(HEV), and plug-in HEV applications. His areas of interest include design, analysis, and control of PM machines. Yihua Hu (M’13-SM’15) received the B.S. degree in electrical motor drives and the Ph.D. degree in power electronics and drives from the China University of Mining and Technology, Jiangsu, China, in 2003 and 2011, respectively. From 2011 to 2013, he was with the College of Electrical Engineering, Zhejiang University, as a Postdoctoral Fellow. From 2012 to 2013, he was an Academic Visiting Scholar with the School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, U.K. From 2013 to 2015, he was a Research Associate with the Power Electronics and Motor Drive Group, University of Strathclyde. He is currently a Lecturer with the Department of Electrical Engineering and Electronics, University of Liverpool. He has published over 60 peer-reviewed technical papers in leading journals. His research interests include PV generation system, power electronics converters and control, and electrical motor drives.
Supported by:
Supported by National Natural Science Foundation of China (U1361109, 51777060) and Natural Science Foundation of Henan province (162300410117).

Abstract

Abstract: The surface-mounted and interior permanent magnet synchronous motor(SIPMSM) has the characteristics of multiple variables, strong coupling and nonlinearity. In order to improve the performance of SIPMSM, this paper presents a multi-objective optimal design process using Taguchi and response surface methodology(RSM). The peak value of cogging torque(PVCT), ratio value of average torque and permanent magnet weight(RTW), torque ripple and back-EMF total harmonics distortion(ETHD) are selected as optimization goals. The experiment matrix is established by Taguchi method, and analyzed the tendency and proportion of the effect of the optimization parameters on SIPMSM performance. The rules of choosing multi-objective optimization parameters are obtained. The least-squares method is used to establish the optimal objective function, and RSM is used to obtain the resolutions of the optimization objective function. Comparing the initial performance with optimized performance verifies the effectiveness of the proposed method.

Key words: Surface-mounted and interior permanent magnet synchronous motor(SIPMSM), multi-objective optimization, Taguchi, response surface methodology(RSM), least-square method

Jikai Si, Suzhen Zhao, Haichao Feng, Ruiwu Cao, Yihua Hu. Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method[J]. Chinese Journal of Electrical Engineering, 2018, 4(1): 67-73.

References

[1] J. K. Si, Z. F. Liu, M. Si, X. Z. Xiao,X. D. Wang, “Magnetic field analysis and characteristics research on permanent magnet synchronous motors with new structure rotor,” Journal of China Coal Society, vol. 38, no. 2, pp. 348-352, Feb. 2013.
[2] J. K. Si, S. He, H. C. Feng, X. L. Zhang,and X. H. Feng, “Characteristic analysis of surface-mounted and interior hybrid permanent magnet synchronous motor based on equivalent magnetic circuit method,” Journal of China Coal Society, vol. 40, no. 5, pp. 1199-1205, May. 2015.
[3] J. K. Si, L.F. Zhang, H. C. Feng, X. Z. Xiao,X. L. Zhang, “Multi-objective optimal design of a surface-mounted and interior permanent magnet synchronous motor,” Journal of China Coal Society, vol. 41, no. 12, pp. 3167-3173, Dec. 2016.
[4] S. Z. Zhao, J. K. Si, H. C. Feng, X. L. Zhang,X. H. Feng, “The optimization design of surface-mounted and interior permanent magnet synchronous motor,” Small & Special Electrical Machines, vol. 45, no. 7, pp. 8-10,17, Jul. 2017.
[5] L. Z. Ji,X. Y. Yang, “Optimal rotor structure design of brushless doubly-fed machine,” Micromotors, vol. 44, no. 12, pp. 67-71, Dec. 2010.
[6] D. W. Meng, X. D. Pang, B. Pan,Y. Zhao, “Optimal design for the induction motors with high efficiency and high voltage of YKK series,” Electric Machines and Control, vol. 14, no. 4, pp. 31-35, Apr. 2010.
[7] J. G. Xin, C. L. Xia, H. F. Li,T. N. Shi, “Optimization design of permanent magnet array for spherical motor based on analytical model,” Transactions of China Electrotechnical Society, vol. 28, no. 7, pp. 87-95, Jul. 2013.
[8] L.Y. Li, T Y. B.Tang, J. X. Liu, and D. H. Pan, “Application of the multiple population genetic algorithm in optimum design of air-core permanent magnet linear synchronous motors,” Proceedings of the CSEE., vol. 33, no. 15, pp. 69-77, May 2013.
[9] H. Chen, X. D. Liu,J.Zhao, “Design and optimization of a high-band width low-speed high-torque permanent magnetic synchronous motor,” Transactions of China Electrotechnical Society, vol. 29, sup. 1, pp. 108-114, 2014.
[10] Z. Y. Lan, X. Y. Yang, F. Y. Wang,C. D, Zheng, “Application for optimal designing of sinusoidal interior permanent magnet synchronous motors by using Taguchi method,” Transactions of China Electrotechnical Society, vol. 26, no. 12, pp. 37-42, Dec. 2011.
[11] M. Ashabani, Y. A. R. I. Mohamed,J. Milimonfared, “Optimum design of tubular permanent magnet motors for thrust characteristics improvement by combined Taguchineural network approach,” IEEE Trans. Magn., vol. 46, no. 12, pp. 4092-4100, Dec. 2010.
[12] S. Lee, K. Kim, S. Cho, J. Jang, T. Lee,J. Hong, “Optimal design of interior permanent magnet synchronous motor considering the manufacturing tolerances using Taguchi robust design,” IET Electr. Power Appl., vol. 8, no. 1, pp. 23-28, Jan. 2014.
[13] Y. Y. Hong, F. J. Lin,T. H. Yu, “Taguchi method-based probabilistic load flow studies considering uncertain renewables and loads,” IET Renewable Power Generation, vol. 10, no.2, pp.221-227, Feb.2016.
[14] A. A. Omekanda, “Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods,” IEEE Trans. Ind. App., vol. 42, no. 2, pp. 473-478, Mar./Apr. 2006.
[15] C. C. Hwang, L. Y. Lye, C. T. Liu,P. L. Li, “Optimal design of an SPM motor using genetic algorithms coupled Taguchi method,” IEEE Trans. Magn., vol. 44, no. 11, pp. 4325-4328, Nov. 2008.
[16] H. M. Hasanien, A. S.Abd-Rabou, and S. M. Sakr, “Design optimization of transverse flux linear motor for weight reduction and performance improvement using response surface methodology and genetic algorithms,” IEEE Trans. Energy Convers., vol.25, no.3, pp. 598-605, Sep. 2010.
[17] D. K. Hong, B. C. Woo, D. H. Koo,D. H. Kang, “Optimum design of transverse flux linear motor for weight reduction and improvement thrust force using response surface methodology,” IEEE Trans. Magn., vol. 44, no. 11, pp. 4317-4320, Nov. 2008.
[18] D. K. Hong,and J. M. Kim, “Optimum design of Maglev lift system’s electromagnet for weight reduction using response surface methodology,” Comput. Math. Elect. Electron. Eng., vol. 27, no. 4, pp. 797-805, Apr. 2008.
[19] J. M. Park, S. I. Kim, J. P. Hong,J. H. Lee, “Rotor design on Torque Ripple Reduction for a synchronous reluctance motor with concentrated winding using response surface methodology,” IEEE Trans. Magn., vol. 42, no. 10, pp. 3479-3481, Oct. 2006.
[20] J. H. Lee, “Optimum shape design solution of flux switching motor using response surface methodology and new type winding,” IEEE Trans. Magn., vol. 48, no. 4, pp. 1637-1640, Apr. 2012.
[21] B. H. Lee, J. P. Hong,J. H. Lee, “Optimum design criteria for maximum torque and efficiency of a line-start permanent-magnet motor using response surface methodology and finite element method,” IEEE Trans. Magn., vol. 48, no. 2, pp. 863-866, Feb. 2012.
[22] E. Ilten,M. Demirtas, “Off-line tuning of fractional order PI Controller by using response surface method for induction motor speed control,” Control Eng. Appl. Inform., vol. 18, no. 2, pp. 20-27, 2016.
[23] D. J. Shin,and B. Kwon, “Multi-objective optimal design for in-wheel permanent magnet synchronous motor,” inProc. Int. Conf. Elect. Mach. Syst., pp. 1-5, Nov. 2009.
[24] C. C. Hwang, C. T. Liu,C. J. Hong, “Optimal design of an IPM motor using fuzzy-based Taguchi method and Rosenbrack's algorithm,” inProc. Int. Conf. Elect. Mach. (ICEM)., pp. 4-7, Sept. 2016.

Multi-Objective Optimization of Surface-Mounted and Interior Permanent Magnet Synchronous Motor Based on Taguchi Method and Response Surface Method

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	WANG Han, JIANG Zhigang, ZHANG Hua, WANG Yan. Research on Multi-objective Optimization Redesign Method for Used Mechanical Equipment Based on Analytical Target Cascading [J]. Journal of Mechanical Engineering, 2019, 55(3): 147-153.
[2]	CUI Dabin, ZHAO Rui, LI Jun, SHE Jiahao, LI Li, WEN Zefeng. Multi-objective Optimization of EMU Wheel Profile Oriented to Flange Wear Control [J]. Journal of Mechanical Engineering, 2019, 55(16): 104-113.
[3]	CHEN Dong, LI Shiqi, WANG Junfeng, HE Wang, FENG Yi. Method of Multi-objective Trajectory Planning of Parallel Mechanism Based on the Kinematics [J]. Journal of Mechanical Engineering, 2019, 55(15): 163-173.
[4]	GUAN Chao, ZHANG Zeqiang, LI Yunpeng, JIA Lin. Combining Multi-objective Differential Evolution Algorithm and Linear Programming for Multiple Row Facility Layout Problem [J]. Journal of Mechanical Engineering, 2019, 55(13): 160-174.
[5]	XIONG Wei, HUANG Haihong, ZHU Libin, LIU Zhifeng. Energy-saving Scheduling in Stamping Workshop Based on Ranks of Product Embodied Energy during Manufacturing [J]. Journal of Mechanical Engineering, 2019, 55(10): 217-225.
[6]	GU Xiaohui, YANG Shaopu, LIU Yongqiang, REN Bin, ZHANG Jianchao. Fault Feature Extraction of Wheel-bearing Based on Multi-objective Cross Entropy Optimization [J]. Journal of Mechanical Engineering, 2018, 54(4): 285-292.
[7]	LI Liansheng, DENG Loulou, MEI Zhiwu, LÜ Zhengxin, LIU Jihong. Pareto-based Multi-objective Optimization of Focusing X-Ray Pulsar Telescope and Multi-physics Coupling Analysis [J]. Journal of Mechanical Engineering, 2018, 54(23): 174-184.
[8]	YANG Jibin, XU Xiaohui, ZHANG Jiye, SONG Pengyun. Multi-objective Optimization of Energy Management Strategy for Fuel Cell Tram [J]. Journal of Mechanical Engineering, 2018, 54(22): 153-159.
[9]	JIANG Rongchao, LIU Dawei, WANG Dengfeng. Multi-objective Optimization of Vehicle Dynamics Performance Based on Entropy Weighted TOPSIS Method [J]. Journal of Mechanical Engineering, 2018, 54(2): 150-158.
[10]	LIN Tengjiao, CAO Hong, TAN Ziran, HE Zeyin, LÜ Hesheng. Dynamic Performance Optimization of Coupled System for Four-stage Planetary Gear Reducer [J]. Journal of Mechanical Engineering, 2018, 54(11): 161-171.
[11]	WU Xiaojun, CHEN Zhu, ZHOU Tianze, MA Changjie, SHU Xiao, DONG Jianyuan. Research on Processing Efficiency and Contact Characteristics of M300 Steel Surface Grinding with Elastic Abrasives [J]. Journal of Mechanical Engineering, 2018, 54(1): 171-177.
[12]	CHEN Bo, GAO Dianrong, YANG Chao, WU Shaofeng, ZHANG Guangtong. Multi-objective Intelligent Collaborative Optimization of Structure Parameters for High-power Remote Sprayer [J]. Journal of Mechanical Engineering, 2017, 53(6): 166-175.
[13]	XUE Chen, JIANG Zhigang, ZHANG Xugang, WANG Han. Multi-objective Optimization Model and Application of Components Reuse Combination for Used Mechanical Equipment [J]. Journal of Mechanical Engineering, 2017, 53(5): 76-85.
[14]	ZHANG Liang, ZHANG Jiye, LI Tian, ZHANG Yadong. Multi-objective Optimization Design of the Streamlined Head Shape of Super High-speed Trains [J]. Journal of Mechanical Engineering, 2017, 53(2): 106-114.
[15]	GU Xiaohua, WANG Kan, LI Yan, GAO Lun, LI Taifu, ZHOU Wei. The Intelligent Oil Extraction Auxiliary Decision Based on Evolution Model and Preference Driven Multi-objective Optimization [J]. Journal of Mechanical Engineering, 2017, 53(13): 159-169.